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Record W4416269932 · doi:10.2147/prbm.s557565

Predictors of Acute and Chronic PTSD in Road Trauma Survivors: Insights from a 12-Month Cohort Study

2025· article· en· W4416269932 on OpenAlex
Somayeh Momenyan, A. Cheung, Herbert Chan, Lina Jae, John A.M. Taylor, John A. Staples, Devin Harris, Jeffrey R. Brubacher

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePsychology Research and Behavior Management · 2025
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsCentre for Advancing Health OutcomesUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsReferralCoping (psychology)DistressPsychological distressCohort studyChronic painCohortPain catastrophizingAnxietyPosttraumatic stress

Abstract

fetched live from OpenAlex

Introduction: The present study reports the prevalence of acute post-traumatic stress disorder (PTSD) symptoms (2 months post-injury) and chronic PTSD symptoms (6 and 12 months post-injury) among road trauma survivors. We also examine baseline factors as potential predictors of acute and chronic PTSD symptoms post-injury. Methods: This study followed a prospective cohort, enrolling 1480 survivors in Canada, between July 2018 and March 2020. PTSD symptoms were measured with the Post-traumatic Check-List Scale (PCL-S) at 2, 6, and 12 months post-injury. Baseline sociodemographic, psychological, medical, and injury-related factors were examined as predictors of acute and long-term PTSD symptoms using multivariable logistic regression. Results: PTSD symptoms were reported by 241 of 1074 participants (22.4%) at 2 months, 167 of 935 (17.9%) at 6 months, and 141 of 872 (16.2%) at 12 months. Female sex, Asian ethnicity, more retrospectively reported pre-injury somatic symptoms, greater pre-injury psychological distress, and being a pedestrian (vs a driver) were consistently linked to higher odds of PTSD symptoms at 2 and 6 months. At 2 months, younger age, greater pre-injury pain catastrophizing, uncertain recovery expectations, and head or spine/back injuries were additional significant predictors, while by 6 months, having neck injury remained significant. By 12 months, chronic PTSD symptoms was associated with greater pre-injury pain catastrophizing, lower pre-injury health-related quality of life, and spine/back injury. Injury pain remained a predictor across all follow-ups. Conclusion: PTSD symptom prevalence among survivors decreased between 2 and 6 months post-injury, but recovery rate slowed thereafter, with reduction between 6 and 12 months being much smaller than the earlier decrease. Furthermore, as some significant factors are modifiable, early interventions-such as effective pain management, psychological support, and coping strategy training-may help mitigate PTSD symptoms. Brief screening for psychological distress and pain catastrophizing could further support timely identification and referral of high-risk patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.081
GPT teacher head0.453
Teacher spread0.372 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it